• Title/Summary/Keyword: Drone Platform

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Drone-Based Micro-SAR Imaging System and Performance Analysis through Error Corrections (드론을 활용한 초소형 SAR 영상 구현 및 품질 보상 분석)

  • Lee, Kee-Woong;Kim, Bum-Seung;Moon, Min-Jung;Song, Jung-Hwan;Lee, Woo-Kyung;Song, Yong-Kyu
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.9
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    • pp.854-864
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    • 2016
  • The use of small drone platform has become a popular topic in these days but its application for SAR operation has been little known due to the burden of the payload implementation. Drone platforms are distinguished from the conventional UAV system by the increased vulnerability to the turbulences, control-errors and poor motion stability. Consequently, sophisticated motion compensation may be required to guarantee the successful acquisition of high quality SAR imagery. Extremely limited power and mass budgets may prevent the use of additional hardwares for motion compensation and the difficulty of SAR focusing is further aggravated. In this paper, we have carried out a feasibility study of mico-SAR drone operation. We present the image acquisition results from the preliminary flight tests and a quality assessment is followed on the experimental SAR images. The in-flight motion errors derived from the unique drone movements are investigated and attempts have been made to compensate for the geometrical and phase errors caused by motions against the nominal trajectory. Finally, the successful operation of drone SAR system is validated through the focussed SAR images taken over test sites.

Inventory Management Platform Using Al Drone (인공지능 드론을 활용한 재고관리 플랫폼)

  • Oh, Se-Jin;Hong, Sung-An;Min, Jae-Hong
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.367-368
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    • 2022
  • 인공지능을 활용한 시장이 확대되고 있다. 그중 기업의 공장에서는 생산 물품 관리를 위한 효율적인 재고관리 시스템이 요구된다. 본 연구는 AI를 기반으로 RFID Reader와 고해상도 카메라 모듈을 탑재한 드론을 활용하여, 재고 탐색 및 인식 기능이 있는 재고관리 플랫폼에 대하여, 안정적인 드론 운용 기술 방안을 연구해 보고자 한다.

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Dynamic Modeling-based Flight P-PD Controller Applied to a Quadrotor

  • Jin, Tae-Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.4_1
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    • pp.513-519
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    • 2022
  • In this paper, we describe performances of P-PD controllers in the quadrotor system with steady-state error compensation by adding a corrective term to the system input. A decentralized control system using P-PD controllers was successfully implemented on a quadrotor platform. We also presented the results of a mathematical modeling analysis for control the quadrotor and experimental results for each response performance according to the heading reference value in accordance with the mathematical modeling and P-PD controller design. A control experiment with the real system was implemented for the test platform, and the results were evaluated and compared.

Development and Test of a Docking Type Automatic Landing System for Shipboard Landing (드론 함상 착륙을 위한 도킹 방식의 자동 착륙 시스템 개발 및 시험)

  • Minsu Park;Sungyug Kim;Hyeok Ryu
    • Journal of Aerospace System Engineering
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    • v.18 no.2
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    • pp.47-55
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    • 2024
  • The paper presents a docking-type automatic landing system that works in tandem with Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs). The system utilizes a pyramid-shaped landing gear and pad for effective landing. In marine environments, a docking device guides the drone to land securely. To test the system, a ship's behavior was simulated using a 3-DoF motion platform, and the successful operation and utility of the docking-type automatic landing system were demonstrated.

Robust Radiometric and Geometric Correction Methods for Drone-Based Hyperspectral Imaging in Agricultural Applications

  • Hyoung-Sub Shin;Seung-Hwan Go;Jong-Hwa Park
    • Korean Journal of Remote Sensing
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    • v.40 no.3
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    • pp.257-268
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    • 2024
  • Drone-mounted hyperspectral sensors (DHSs) have revolutionized remote sensing in agriculture by offering a cost-effective and flexible platform for high-resolution spectral data acquisition. Their ability to capture data at low altitudes minimizes atmospheric interference, enhancing their utility in agricultural monitoring and management. This study focused on addressing the challenges of radiometric and geometric distortions in preprocessing drone-acquired hyperspectral data. Radiometric correction, using the empirical line method (ELM) and spectral reference panels, effectively removed sensor noise and variations in solar irradiance, resulting in accurate surface reflectance values. Notably, the ELM correction improved reflectance for measured reference panels by 5-55%, resulting in a more uniform spectral profile across wavelengths, further validated by high correlations (0.97-0.99), despite minor deviations observed at specific wavelengths for some reflectors. Geometric correction, utilizing a rubber sheet transformation with ground control points, successfully rectified distortions caused by sensor orientation and flight path variations, ensuring accurate spatial representation within the image. The effectiveness of geometric correction was assessed using root mean square error(RMSE) analysis, revealing minimal errors in both east-west(0.00 to 0.081 m) and north-south directions(0.00 to 0.076 m).The overall position RMSE of 0.031 meters across 100 points demonstrates high geometric accuracy, exceeding industry standards. Additionally, image mosaicking was performed to create a comprehensive representation of the study area. These results demonstrate the effectiveness of the applied preprocessing techniques and highlight the potential of DHSs for precise crop health monitoring and management in smart agriculture. However, further research is needed to address challenges related to data dimensionality, sensor calibration, and reference data availability, as well as exploring alternative correction methods and evaluating their performance in diverse environmental conditions to enhance the robustness and applicability of hyperspectral data processing in agriculture.

Operation Model for Forest-UAV for Detection of Forest Disease (산림병해충 검출을 위한 산림무인항공기 운영 모델)

  • Byun, Sangwoo;Kang, Yunhee
    • Journal of Platform Technology
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    • v.8 no.1
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    • pp.3-9
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    • 2020
  • In Korea, 63% of the nation's land is made up of forests, and the average temperature of the earth has been increasing. Forest service has been operating a proactive control system for preventing the spread of forest pests such as Pine wilt disease. but there were some hurdles in timely control due to weather, topography and manpower management difficulties. In this paper, we propose a model for building fast, accurate and efficient control system by categorizing the damage and dead wood automatically based on the images acquired using small unmanned aerial vehicles based on information and communication technology. In particular, the proposed model establishes an effective response system for government affairs through cooperation in the private sector. It can also create new jobs in the unmanned aerial vehicle business and service industries.

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Review on the Control Methods of Quadcopters (쿼드콥터 제어 방법 고찰)

  • Yoon, Jonghuyn;Lee, Seunghee;Park, Jong Hyeon;Han, Cheolheui
    • Journal of Institute of Convergence Technology
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    • v.5 no.2
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    • pp.13-19
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    • 2015
  • Recently, quadcopters have been popular as aerial drones. The structure of quadcopters is simpler than traditional helicopters and they are easy to construct and maneuver. Various hardware platforms for quadcopters have been developed. However, the controller design is not easy due to the requirement of 6-DOF flights using 4 rotors(control inputs)(under-actuated systems). In order to overcome the underactuation problem, various control methods - PID, LQR, $H_{\infty}$, SMC, backstepping control, and etc. - have been suggested for the control of quadcopters. In this paper, dynamic features and control methods of quadcopters are reviewed and evaluated. Future works are proposed for designing the advanced controllers of quadcopters.

A Real Time Quadrotor Autonomous Navigation and Remote Control Method (실시간 쿼드로터 자율주행과 원격제어 기법)

  • Son, Byung-Rak;Kang, Seok-Min;Lee, Hyun;Lee, Dong-Ha
    • IEMEK Journal of Embedded Systems and Applications
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    • v.8 no.4
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    • pp.205-212
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    • 2013
  • In recent, the demand of Unmanned Aerial Vehicles (UAVs) that can autonomous navigation and remote control has been increased in military, civil and commercial field. Particularly, existing researches focused on autonomous navigation method based on vanish point and remote control method based on event processing in indoor environments. However, the existing methods have some problems. For instance, a detected vanish point in intersection point has too much detection errors. In addition, the delay is increased in existing remote control system for processing images in real time. Thus, we propose improved vanish point algorithm by removing detection errors in intersection point. We also develop a remote control system with android platform by separating flying control and image process. Finally, we compare the proposed methods with existing methods to show the improvement of our approaches.

System for Leveling Landing Surface in Response to Changes in Quadcopter Posture (쿼드콥터 자세 변화에 대응한 착륙 접지면 수평 유지 시스템)

  • Kwon, Yeongkeun;Cheon, Donghun;Hwang, Seonghyeon;Choi, Jiwook;Kang, Hosun;Lee, Jangmyung
    • The Journal of Korea Robotics Society
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    • v.16 no.2
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    • pp.155-163
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    • 2021
  • In this paper, we propose a four 2-link robotic leg landing system that is used for leveling the bottom of the landing system, even when the quadcopter posture is changed. The case of conventional skid type landing gear has a risk when the quadcopter lands on a moving vehicle because the skid type landing gear is tilted to the landing site at this situation. To solve this problem, it is necessary to level the bottom of the landing system when the quadcopter posture is changed in the flight. Therefore, the proposed landing system used a four 2-link robotic leg with leveling method. The leveling method was derived from the method of determining a plane. The superiority of the proposed system was verified with 6-axis stewart platform and real flight experiment, and it shows feasibility of leveling method and proposed landing system.

Internet of Drone: Identity Management using Hyperledger Fabric Platforms

  • Etienne, Igugu Tshisekedi;Kang, Sung-Won;Rhee, Kyung-hyune
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.204-207
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    • 2022
  • The uses of drones are increasing despite the fact that many of us are still skeptical. In the near future, the data that will be created and used by them will be very voluminous, hence the need to find an architecture that allows good identity management and access control in a decentralized way while guaranteeing security and privacy. In this article, we propose an architecture using hyperledger fabric blockchain platform which will manage the identity in a secure way starting with the registration of the drones on the network then an access control thanks to Public Key Infrastructure (PKI) and membership service provider (MSP) to enable decision-making within the system.